Fault Identification in Membrane Structures Using the Hilbert Transforms

Aleksandra Waszczuk-Młyńska; Adam Gałęzia; Radkowski Stanisław

doi:10.3390/s22166224

Fault Identification in Membrane Structures Using the Hilbert Transforms

Sensors (Basel). 2022 Aug 19;22(16):6224. doi: 10.3390/s22166224.

Authors

Aleksandra Waszczuk-Młyńska¹, Adam Gałęzia¹, Radkowski Stanisław¹

Affiliation

¹ Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Narbutta 84 St., 02-524 Warsaw, Poland.

Abstract

Fault diagnostics present a crucial technical issue in the areas of both the condition monitoring of machines and the monitoring of structural health. The identification of faults at an early stage in their development has an immense effect on the safety of monitored structures. Correct identification allows for the monitoring of the development of faults and the choosing of optimal operation strategies. This article discusses a method of monitoring structural health, based on the application of the Hilbert transforms (GHT and FrHT) for detecting fault formations and their development in membrane structures. A signal resulting from the HT is analyzed using spectral analysis to identify features indicating the technical state.

Keywords: Hilbert transform; damage detection; generalized Hilbert transform; membrane structure; spectral moments.

Grants and funding

This research was funded by the National Center for Research and Development 338 under the “Security and Defense” programme (Project No. DOB-BIO9/04/02/2018).